Triple
T9914901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Gabin |
E185842
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | French Cancan |
E548272
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: French Cancan | Statement: [Jean Gabin, notableWork, French Cancan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Cancan Context triple: [Jean Gabin, notableWork, French Cancan]
-
A.
French Cancan
chosen
French Cancan is a 1955 French musical film by Jean Renoir that colorfully dramatizes the origins of the cancan dance in Paris’s Montmartre.
-
B.
Folies Bergère
Folies Bergère is a historic Parisian music hall and cabaret, famed for its lavish variety shows, elaborate costumes, and role in the development of French popular entertainment.
-
C.
La Goulue
La Goulue was the stage name of Louise Weber, a famous late-19th-century French can-can dancer at the Moulin Rouge and a popular subject of Toulouse-Lautrec’s posters.
-
D.
Dranse
The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
-
E.
Calaisienne
Calaisienne is the French term for a female inhabitant or native of the port city of Calais in northern France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53ba1ac8190ba655133b81596d7 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dd82edc8190b405a3969864af77 |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:41 p.m.